H-Statistic in Banking Market for Sri Lanka
DDOI03LKA066NWDB • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.46
Year-over-Year Change
-15.57%
Date Range
1/1/2010 - 1/1/2014
Summary
The H-Statistic in Banking Market for Sri Lanka measures the degree of competition in the country's banking industry. This economic indicator is closely watched by policymakers and economists to assess the efficiency and stability of the financial sector.
Analysis & Context
This economic indicator provides valuable insights into current market conditions and economic trends. The data is updated regularly by the Federal Reserve and represents one of the most reliable sources for economic analysis.
Understanding this metric helps economists, policymakers, and investors make informed decisions about economic conditions and future trends. The interactive chart above allows you to explore historical patterns and identify key trends over time.
About This Dataset
The H-Statistic is a measure of market competition derived from the Panzar-Rosse model. It ranges from 0 to 1, with higher values indicating more competitive banking markets. This metric provides insights into the pricing behavior and market power of banks in Sri Lanka.
Methodology
The H-Statistic is calculated based on banks' revenue functions and input prices.
Historical Context
The H-Statistic is used by central banks and financial regulators to evaluate banking competition and inform policy decisions.
Key Facts
- The H-Statistic ranges from 0 to 1.
- Higher values indicate more competitive banking markets.
- The H-Statistic provides insights into bank pricing behavior and market power.
FAQs
Q: What does the H-Statistic in Banking Market for Sri Lanka measure?
A: The H-Statistic measures the degree of competition in Sri Lanka's banking industry. It is derived from the Panzar-Rosse model and provides insights into the pricing behavior and market power of banks.
Q: Why is the H-Statistic relevant for users or analysts?
A: The H-Statistic is a key indicator used by policymakers and economists to assess the efficiency and stability of Sri Lanka's financial sector. It informs policy decisions related to banking competition and regulation.
Q: How is the H-Statistic data collected or calculated?
A: The H-Statistic is calculated based on banks' revenue functions and input prices, using the Panzar-Rosse model.
Q: How is the H-Statistic used in economic policy?
A: Central banks and financial regulators use the H-Statistic to evaluate banking competition and inform policy decisions related to the stability and efficiency of the financial sector.
Q: Are there any update delays or limitations with the H-Statistic data?
A: The H-Statistic data may be subject to reporting delays and limitations in data availability, as it relies on information collected from banks and financial institutions in Sri Lanka.
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Citation
U.S. Federal Reserve, H-Statistic in Banking Market for Sri Lanka (DDOI03LKA066NWDB), retrieved from FRED.